Data Analytics Engineer

Summary

Join Oddball as a Data Analytics Engineer to contribute to the VA RISE program, enhancing the Department of Veterans Affairs' data utilization for improved veteran services. Collaborate with various teams and stakeholders to extract insights from complex datasets, build robust data pipelines, and develop scalable reporting systems. You will leverage your expertise in SQL, Python, and data platforms like Databricks and Synapse to transform data and drive data-informed decisions. This role demands experience in designing ETL/ELT pipelines and relational database systems. The position offers a fully remote work environment and a competitive compensation package.

Requirements

• 3–5 years of experience in an data analytics or data engineering role, with strong background working in large, regulated environments
• Expertise in SQL (PostgreSQL, T-SQL, or equivalent) for complex data manipulation, wrangling and pipeline development
• Proficiency in Python for scripting, automation and data transformations (e.g., Pandas, NumPy)
• Experience designing and building ETL/ELT pipelines, with hands-on skills in modern data platforms like Databricks and Synapse
• A solid understanding of relational database systems, including data modeling, schema design and optimization
• Ability to translate business requirements into technical solutions and build insightful dashboards and visualizations using tools like Power BI, Tableau or Looker
• Experience working in Agile environments, collaborating with product and engineering teams
• Must be a US Citizen and able to work domestically
• Must be able to attain low-level security clearance
• Bachelor’s degree

Responsibilities

• Support the VA RISE program, a federal initiative focused on improving how the Department of Veterans Affairs collects, integrates, and leverages data to better serve veterans
• Work closely with analysts, engineers, architects, product owners, and federal stakeholders to extract insights from complex data sets, build data pipelines, and support scalable reporting systems
• Work across both structured and semi-structured data to help transform and improve outcomes for veterans through data-driven decision-making

Preferred Qualifications

• Familiarity with data governance frameworks and working with protected data (e.g., HIPAA, PII/PHI)
• Exposure to cloud data tools (e.g., AWS Redshift , S3, or Azure Data Lake )
• Experience using Jira, Confluence, Git , or other collaboration tools in Agile delivery
• Prior work supporting VA data modernization , CDW , or the Data-as-a-Service (DaaS) efforts

Benefits

• Fully remote
• Annual stipend
• Comprehensive Benefits Package
• Company Match 401(k) plan
• Flexible PTO, Paid Holidays